基本信息

姓名:兰剑    电话:029-82663421  邮箱:lanjian@mail.xjtu.edu.cn  或  lanjian@xjtu.edu.cn

工作简历

2017 - 至今          教授,  博士生导师            西安交通大学  电信学院 信息工程科学研究中心

2013 - 2016         副教授,  博士生导师         西安交通大学  电信学院 信息工程科学研究中心

2010 - 2012         讲师,  硕士生导师            西安交通大学  电信学院 信息工程科学研究中心

学习简历

2004 - 2010         工学博士                         清华大学 自动化系

2008 - 2009         国家公派留学                  美国新奥尔良大学 电子工程系

2000 - 2004         工学学士                         国防科技大学 机电工程与自动化学院

照片

学术兼职 / 社会兼职 / 荣誉称号

  Associate Editor(副编)

- 2016﹣至今, IEEE Transactions on Aerospace and Electronic Systems (TAES) (IEEE航空航天与电子系统汇刊)

 陕西省高校首批"青年杰出人才"

- 2017年入选

 IEEE Senior Member (IEEE高级会员)

 陕西省青联委员,  2016﹣至今

 学会委员

中国航空学会信息融合分会委员

陕西省自动化学会青年委员会委员

 评审人

- 国家自然科学基金

 审稿人

IEEE Transactions on Signal Processing

IEEE Transactions on Aerospace and Electronic Systems

IEEE Transactions on Automatic Control

- Automatica

Journal of Advances in Information Fusion

International Conference on Information Fusion (FUSION)

自动化学报

航空学报

- Information Fusion

教学及科研团队

主讲:《导航与制导原理》, 本科三年级

科研团队:2010年起加入李晓榕教授“千人计划”科研团队

科研活动

2016

参加国际信息融合大会,德国,海德堡

2015

参加国际信息融合大会,美国,华盛顿

2014

参加国际信息融合大会,西班牙,萨拉曼卡

2013

参加国际信息融合大会,土耳其,伊斯坦布尔

参加国际信息融合研讨会,西安(交大主办)

参加中国信息融合大会,深圳

2012

参加国际信息融合大会,新加坡

参加中国信息融合大会,武汉

2011

参加国际信息融合大会,美国,芝加哥

参加国际信息融合研讨会,西安(交大主办)

站点计数器
科研成果

研究领域:信息融合理论与技术,包括非线性估计与滤波、机动目标/多目标/扩展目标跟踪、导航与制导理论及技术、联合决策与估计、状态估计及融合、性能评估等。

应用领域:雷达/声呐/图像目标(飞机/舰船/车辆/行人)跟踪与识别、空中/地面智能交通系统、自主驾驶系统、车载/舰载/机载/手持卫星/惯性导航系统、多传感器数据融合系统、智能穿戴设备、复杂系统故障诊断/隔离/补偿及性能评估等。

 

主持的科研项目:

1. 国家自然科学基金(面上,2016~2019,编号:61573020

              项目名称:基于最优扩维法的现代目标跟踪系统非线性估计问题研究

2. 国家自然科学基金(青年,2013~2015,编号:61203120

              项目名称:基于随机矩阵的机动不规则扩展目标建模及估计研究

3. 国家安全重大基础研究计划(GF973)专题2015~2017

              项目名称:XX机理研究

4. 总装预研基金2015~2017

              项目名称:XX惯导技术研究

5. 教育部博士点基金2011~2013,编号:20110201120007

              项目名称:机动扩展目标状态及形态估计研究

6. 航空科学基金2011~2014,编号:2011XX

              项目名称:XX导航技术研究

7. XX研究所横向合作课题2011~2014

              项目名称:XX目标联合识别与跟踪技术研究

8. XX基地横向合作课题2017~2018

              项目名称:XX系统性能评估技术研究

9. 西安交通大学学科综合交叉类科研项目2012~2014,编号:xjj2012075

              项目名称:结合机器学习的机动扩展目标变结构多模型状态及形态估计技术研究

 

 发表论文:

  • 代表论文:

[1]     Jian Lan, X. Rong Li, “Multiple Conversions of Measurements for Nonlinear Estimation,” IEEE Transactions on Signal Processing, 2017, 65(18): 4956-4970.  (preprint: MCA.pdf)

提出非线性估计框架多转换法 (MCA) 多交互多转换 (IMC) 算法, 结构简单, 计算量小, 可按性能同时利用多个非线性滤波器, 包括EKF/UKF/UCF, 达到全局高精度估计; 并证明UCF有限维最优变换的存在性

[2]     Jian Lan, X. Rong Li, “Tracking of Extended Object or Target Group Using Random Matrix: New Model and Approach,” IEEE Transactions on Aerospace and Electronic Systems, 2016, 52(6): 2973-2989.

提出简洁而高效的扩展目标跟踪 (EOT) 模型和算法, 计算量小, 估计精度高

[3]     Jian Lan, X. Rong Li, Nonlinear Estimation by LMMSE-Based Estimation with Optimized Uncorrelated Augmentation, IEEE Transactions on Signal Processing, 2015, 63(16): 4270-4283.

提出强大而灵活的非线性估计/滤波框架不相关转换滤波器 (UCF), 结构简单, 计算量小, 理论证明其性能优于流行的非线性滤波器,包括扩展卡尔曼滤波 (EKF), 无迹卡尔曼滤波 (UKF), 求积卡尔曼滤波 (QKF)

[4]     Jian Lan, X. Rong Li, Tracking of Maneuvering Non-Ellipsoidal Extended Object or Target Group Using Random Matrix,IEEE Transactions on Signal Processing, 2014, 62(9): 2450-2463.

提出一种非椭形扩展目标跟踪 (NEOT) 方法, 用随机矩阵方法解决非椭形目标跟踪问题

[5]     Jian Lan, X. Rong Li, Equivalent-Model Augmentation for Variable-Structure Multiple-Model Estimation,IEEE Transactions on Aerospace and Electronic Systems, 2013, 49(4): 2615-2630.

提出等价模型扩展 (EqMA) 变结构多模型估计理论方法, 适用于真实模式未知的估计问题

[6]     Jian Lan, X. Rong Li, Vesselin P. Jilkov, Chundi Mu, Second-Order Markov Chain Based Multiple-Model Algorithms for Maneuvering Target Tracking,IEEE Transactions on Aerospace and Electronic Systems, 2013, 49(1): 3-19.

提出基于二阶马尔科夫链 (SOMC) 的多模型估计理论方法, 可精确描述和跟踪动态复杂的机动目标

[7]     Jian Lan, X. Rong Li, Chundi Mu, Best-Model Augmentation for Variable-Structure Multiple-Model Estimation,IEEE Transactions on Aerospace and Electronic Systems, 2011, 47(3): 2008-2025.

提出最优模型扩展 (BMA) 变结构多模型估计理论方法, 通用于结构不同模型集的增加、删除和扩充

  

  • 所有论文:

-      2017present

[1]     Jian Lan, X. Rong Li, “Multiple Conversions of Measurements for Nonlinear Estimation”, IEEE Transactions on Signal Processing, 2017, 65(18): 4956-4970.

[2]     Wen Cao, Jian Lan, X. Rong Li, “Extended Object Tracking and Classification Using Radar and ESM Sensor Data,” IEEE Signal Processing Letters, 2017, PP(99):1-5.

[3]     Hanlin Yin, X. Rong Li, Jian Lan, “Pairwise Comparison Based Ranking Vector Approach to Estimation Performance Ranking”, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2017, PP(99):1-12.

[4]     Le Zhang, Jian Lan, X. Rong Li, “Track-Oriented Evaluation of Multi-Target Tracking Without Knowing Ground Truth”, In Proceedings of the 20th International Conference on Information Fusion, July 2017.

[5]     Xiaomeng Cao, Jian Lan, X. Rong Li, Extended Object Tracking Using Control-Points-Based Extension Deformation”, In Proceedings of the 20th International Conference on Information Fusion, July 2017.

[6]     Qingqiang Ji, Jian Lan, X. Rong Li, “Nested Joint Fault Detection, Identification, Estimation, and State Estimation”, In Proceedings of the 20th International Conference on Information Fusion, July 2017.

[7]     Yingjie Zhang, Jian Lan, Gaussian Sum Filtering Using Uncorrelated Conversion for Nonlinear Estimation”, In Proceedings of the 20th International Conference on Information Fusion, July 2017.

[8]     Ruiqing Xi, Jian Lan, Joint Transfer Alignment and Fault Diagnosis of Inertial Navigation Network”, In Proceedings of the 20th International Conference on Information Fusion, July 2017.

[9]     Leilei Guo, Jian Lan, X. Rong Li, “Multiple Model Approach to Over-the-Horizon Radar Tracking”, In Proceedings of the 20th International Conference on Information Fusion, July 2017.

[10]  Haoyuan Sun, Jian Lan, X. Rong Li, “Kernel Based Filter for Nonlinear Estimation”, In Proceedings of the 20th International Conference on Information Fusion, July 2017.

-      2016

[11]  Jian Lan, X. Rong Li, “Tracking of Extended Object or Target Group Using Random Matrix: New Model and Approach,” IEEE Transactions on Aerospace and Electronic Systems, 2016, 52(6): 2973-2989.

[12]  Bao Liu, Jian Lan, X. Rong Li, “A 2-SPRT Based Approach to Multiple-Model Hypothesis Testing for Multi-Distribution Detection”, IEEE Transactions on Signal Processing, 2016, 64(12): 3221-3236.

[13]  Wen Cao, Jian Lan, X. Rong Li, “Conditional Joint Decision and Estimation with Application to Joint Tracking and Classification,” IEEE Transactions on Systems, Man, And Cybernetics: Systems, 2016, 46(4): 459-471.

[14]  Jian Lan, X. Rong Li, “'Extended Object or Group Target Tracking Using Random Matrix with Nonlinear Measurements”, In Proceedings of the 19th International Conference on Information Fusion, Heidelberg, Germany, July 2016.

[15]  Le Zhang, Jian Lan, X. Rong Li, “Performance Evaluation of Multi-target Tracking Without Knowing Ground Truth”, In Proceedings of the 19th International Conference on Information Fusion, Heidelberg, Germany, July 2016.

[16]  Le Zhang, Jian Lan, X. Rong Li, A Fused Measure for Ranking and Evaluation Using Multiple Performance Metrics”, In Proceedings of the 19th International Conference on Information Fusion, Heidelberg, Germany, July 2016.

[17]  Qingqiang Ji, Jian Lan, X. Rong Li, “Joint Fault Detection, Identification, and State Estimation Based on Conditional Joint Decision and Estimation”, In Proceedings of the 19th International Conference on Information Fusion, Heidelberg, Germany, July 2016.

[18]  Xiaomeng Cao, Jian Lan, X. Rong Li, Extension-Deformation Approach to Extended Object Tracking”, In Proceedings of the 19th International Conference on Information Fusion, Heidelberg, Germany, July 2016.

-      2015

[19]  Jian Lan, X. Rong Li, Nonlinear Estimation by LMMSE-Based Estimation with Optimized Uncorrelated Augmentation, IEEE Transactions on Signal Processing, 2015, 63(16): 4270-4283.

[20]  Hanlin Yin, X. Rong Li, Jian Lan, “Iterative Mid-Range with Application to Estimation Performance Evaluation,” IEEE Signal Processing Letters, 2015, 22(11): 2044-2048.

[21]  Bao Liu, Jian Lan, X. Rong Li, Multiple-Model Hypothesis Testing Based on 2-SPRT,” In Proceedings of the American Control Conference, ACC 2015, Chicago, IL, USA, July 2015: 183-188.

[22]  Bao Liu, Jian Lan, X. Rong Li, Multiple-Model Hypothesis Testing Using Adaptive Representative Model,” In Proceedings of the 18th International Conference on Information Fusion, Washington. DC, USA, July 2015: 1609-1616.

[23]  Le Zhang, Jian Lan, X. Rong Li, A Method for Evaluating Performance of Joint Tracking and Classification,” In Proceedings of the 18th International Conference on Information Fusion, Washington. DC, USA, July 2015: 499-506.

[24]  Wen Cao, Jian Lan, X. Rong Li, Joint Tracking and Classification Based on Conditional Joint Decision and Estimation,” In Proceedings of the 18th International Conference on Information Fusion, Washington. DC, USA, July 2015: 1764-1771.

[25]  Wen Cao, Jian Lan, X. Rong Li, Joint Multi-Target Detection and Tracking Using Conditional Joint Decision and Estimation with OSPA-alike Cost,” In Proceedings of the 18th International Conference on Information Fusion, Washington. DC, USA, July 2015: 1740-1747.

-      2014

[26]  Jian Lan, X. Rong Li, Tracking of Maneuvering Non-Ellipsoidal Extended Object or Target Group Using Random Matrix,IEEE Transactions on Signal Processing, 2014, 62(9): 2450-2463.

[27]  Lifan Sun, X. Rong Li, Jian Lan, “Modeling of Extended Objects Based on Support Functions and Extended Gaussian Images for Target Tracking,” IEEE Transactions on Aerospace and Electronic Systems, 2014, 50(4): 3021-3035.

[28]  Jian Lan, X. Rong Li, Joint Tracking and Classification of Non-Ellipsoidal Extended Object Using Random Matrix, In Proceedings of the 17th International Conference on Information Fusion, Salamanca, Spain, July 2014: 1-8.

[29]  Jian Lan, X. Rong Li, Nonlinear Estimation by Linear Estimation with Augmentation of Uncorrelated Conversion, In Proceedings of the 17th International Conference on Information Fusion, Salamanca, Spain, July 2014: 1-8.

[30]  Zhanping Yan, Jian Lan, Yachong Zhang, Hybrid-System-based Multiple-Model Approach for Transfer Alignment with Dynamic Flexure in IIN,” In Proceedings of IEEE International Conference on Multisensor Fusion and Information Integration for Intelligent System, Beijing, China, Sept. 2014: 1-8.

[31]  Hanlin Yin, Jian Lan, X. Rong Li, Ranking Estimation Performance By Estimator Randomization and Attribute Support, In Proceedings of the 17th International Conference on Information Fusion, Salamanca, Spain, July 2014: 1-8.

[32]  Lifan Sun, Jian Lan, X. Rong Li, Modeling and Tracking of Complex Extended Object Using Minkowski Addition, In Proceedings of the 17th International Conference on Information Fusion, Salamanca, Spain, July 2014.

[33]  Lifan Sun, Jian Lan, X. Rong Li, Joint Tracking and Classification of Extended Object Based on Support Functions, In Proceedings of the 17th International Conference on Information Fusion, Salamanca, Spain, July 2014.

[34]  Wen Cao, Jian Lan, X. Rong Li, Joint Tracking and Classification based on Joint Decision and Estimation using Multi-Sensor Data, In Proceedings of the 17th International Conference on Information Fusion, Salamanca, Spain, July 2014.

-      2013

[35]  Jian Lan, X. Rong Li, Equivalent-Model Augmentation for Variable-Structure Multiple-Model Estimation,IEEE Transactions on Aerospace and Electronic Systems, 2013, 49(4): 2615-2630.

[36]  Jian Lan, X. Rong Li, Vesselin P. Jilkov, Chundi Mu, Second-Order Markov Chain Based Multiple-Model Algorithms for Maneuvering Target Tracking,IEEE Transactions on Aerospace and Electronic Systems, 2013, 49(1): 3-19.

[37]  Jian Lan, X. Rong Li, Joint Tracking and Classification of Extended Objects Using Random Matrix, In Proceedings of the 16th International Conference on Information Fusion, Istanbul, Turkey, July 2013: 1550-1557.

[38]  Wen Cao, Jian Lan, X. Rong Li, Extended Object Tracking and Classification based on Recursive Joint Decision and Estimation, In Proceedings of the 16th International Conference on Information Fusion, Istanbul, Turkey, July 2013: 1670-1677.

[39]  Hanlin Yin, Jian Lan, X. Rong Li, Measures for Ranking Estimation Performance Based on Single or Multiple Performance Metrics, In Proceedings of the 16th International Conference on Information Fusion, Istanbul, Turkey, July 2013: 453-460.

[40]  Lifan Sun, X. Rong Li, Jian Lan, “Extended Object Tracking Based on Support Functions and Extended Gaussian Images,” In Proceedings of the 16th International Conference on Information Fusion, Istanbul, Turkey, July 2013: 1526-1533.

-      2012 & before

[41]  Jian Lan, X. Rong Li, Chundi Mu, Best-Model Augmentation for Variable-Structure Multiple-Model Estimation,IEEE Transactions on Aerospace and Electronic Systems, 2011, 47(3): 2008-2025.

[42]  Jian Lan, X. Rong Li, Tracking of Extended Object or Target Group Using Random Matrix-Part I: New Model and Approach”, In Proceedings of the 15th International Conference on Information Fusion, Singapore, July 2012: 2177-2184.

[43]  Jian Lan, X. Rong Li, Tracking of Extended Object or Target Group Using Random Matrix-Part II: Irregular Object”, In Proceedings of the 15th International Conference on Information Fusion, Singapore, July 2012: 2185-2192.

[44]  Jian Lan, X. Rong Li, State Estimation with Nonlinear Inequality Constraints based on Unscented Transformation”, In Proceedings of the 14th International Conference on Information Fusion, Chicago, USA, July 2011: 1-8.

[45]  Hanlin Yin, Jian Lan, X. Rong Li, New Robust Metrics of Central Tendency for Estimation Performance Evaluation”, In Proceedings of the 15th International Conference on Information Fusion, Singapore, July 2012: 2020-2027.

[46]  Lifan Sun, Jian Lan, X. Rong Li, “Extended Target Tracking Using Star-Convex Model with Nonlinear Inequality Constraints”, In Proceedings of the 31th Chinese Control Conference, Hefei, China, 2012: 3869-3874.

[47]  Jian Lan, Chundi Mu, Input-Adaptive Models Based Multiple-Model Algorithm for Maneuvering Target Tracking, Chinese Journal of Electronics, 2009, 18(1): 84-88.